Recent Papers (*equal contribution)：
1. Zhilin Zhao, Longbing Cao,Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng, quot;Distilling the Unknown to Unveil Certainty,quot; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
2. Yixuan Zhang,Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan and Feng Zhou, quot;Navigating Towards Fairness with Data Selection,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2025.
3. Junliang Lyu,Yixuan Zhang, Xiaoling Lu, Feng Zhou, “Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression,” in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
4. Zicheng Sun*,Yixuan Zhang*, Zenan Ling, Xuhui Fan and Feng Zhou, quot;Nonstationary Sparse Spectral Permanental Process,quot; inProceedings of the 38th Conference on Neural Information Processing Systems, 2024.
5. Yixuan Zhang, Boyu Li, Zenan Ling and Feng Zhou, quot;Mitigating Label Bias in Machine Learning: Fairness through Confident Learning,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2024.
6. Yixuan Zhang, Quyu Kong and Feng Zhou, quot;Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes,quot; inProceedings of the 37th Conference on Neural Information Processing Systems, 2023.
7.nbsp;Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang and Fang Chen, quot;Fair Representation Learning with Unreliable Labels,quot; inProceedings of the 26th International Conference on Artificial Intelligence and Statistics, 2023.
Recent Papers (*equal contribution)：
1. Zhilin Zhao, Longbing Cao,Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng, quot;Distilling the Unknown to Unveil Certainty,quot; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
2. Yixuan Zhang,Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan and Feng Zhou, quot;Navigating Towards Fairness with Data Selection,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2025.
3. Junliang Lyu,Yixuan Zhang, Xiaoling Lu, Feng Zhou, “Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression,” in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
4. Zicheng Sun*,Yixuan Zhang*, Zenan Ling, Xuhui Fan and Feng Zhou, quot;Nonstationary Sparse Spectral Permanental Process,quot; inProceedings of the 38th Conference on Neural Information Processing Systems, 2024.
5. Yixuan Zhang, Boyu Li, Zenan Ling and Feng Zhou, quot;Mitigating Label Bias in Machine Learning: Fairness through Confident Learning,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2024.
6. Yixuan Zhang, Quyu Kong and Feng Zhou, quot;Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes,quot; inProceedings of the 37th Conference on Neural Information Processing Systems, 2023.
7.nbsp;Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang and Fang Chen, quot;Fair Representation Learning with Unreliable Labels,quot; inProceedings of the 26th International Conference on Artificial Intelligence and Statistics, 2023.
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